Senior Data Engineer -DIGI000563

ITProposal; Brussel Hoofdstad; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

ITProposal is seeking a Senior Data Engineer to shape a modern cloud-based data platform using Microsoft Fabric, Azure, Python, and Power BI. The role involves collaborating with analysts, architects, and stakeholders to deliver reliable data products that support analytics and reporting.

The candidate will design scalable pipelines, implement Lakehouse and Medallion architectures, and ensure data quality and performance in a hybrid Belgium-based environment.

Qualifications

• Minimum 5 years of experience as a Data Engineer.
• Strong experience with Azure cloud-based data architectures.
• Hands-on experience with Microsoft Fabric (Pipelines, Dataflows, Notebooks).
• Minimum 3 years of Python experience in a Data Engineering environment.
• Experience developing ETL/ELT with Python/Java/Scala.
• Strong SQL skills and query optimization.

Responsabilités

• Design, develop, optimize, and maintain scalable cloud-based data pipelines.
• Build data integrations from multiple source systems (databases, APIs, files).
• Develop and maintain Lakehouse, Data Warehouse, and Medallion architecture solutions.
• Translate business reporting requirements into robust data models and datasets.
• Develop and optimize ETL/ELT pipelines for large-scale processing.
• Monitor and improve data pipelines and workflows.
• Ensure data quality, scalability, and performance.
• Collaborate with stakeholders and data teams.

Connaissances

Data Engineer

Azure cloud-based data architectures

Microsoft Fabric

Python

SQL

Outils

Git/version control

CI/CD

Description du poste

Senior Data Engineer (Microsoft Fabric, Azure & Power BI)

Location: Belgium (Hybrid)
Contract Duration: Long-term (Initial contract until July 2027 with possible extension)
Start Date: August 2026
Language: Dutch (CEFR C2) – Mandatory

Job Overview

We are looking for an experienced Senior Data Engineer to help build and enhance a modern cloud-based data platform. The ideal candidate has extensive experience designing, developing, and maintaining scalable data solutions using Microsoft Fabric, Azure, Python, and modern data architecture principles.

You will collaborate with data analysts, architects, reporting specialists, and business stakeholders to deliver reliable, high-quality data products that support analytics and reporting.

Key Responsibilities

• Design, develop, optimize, and maintain scalable cloud-based data pipelines.
• Build data integrations from multiple source systems, including databases, APIs, files, and enterprise applications.
• Develop and maintain Lakehouse, Data Warehouse, and Medallion architecture solutions.
• Translate business reporting and analytics requirements into robust data models and reusable datasets.
• Develop and optimize ETL/ELT pipelines for large-scale data processing.
• Monitor, troubleshoot, and improve existing data pipelines and workflows.
• Ensure data quality, scalability, maintainability, and performance.
• Work closely with business stakeholders, architects, analysts, and technical teams.
• Contribute to best practices, documentation, standards, and knowledge sharing within the data engineering team.

Required Skills & Experience

• Minimum 5 years of experience as a Data Engineer.
• Strong experience with Azure cloud-based data architectures.
• Hands-on experience with Microsoft Fabric, including:
  • Pipelines
  • Dataflows
  • Notebooks
• Minimum 3 years of Python experience within a Data Engineering environment.
• Experience developing ETL/ELT processes using Python, Java, or Scala.
• Strong SQL skills, including query optimization.
• Experience integrating data from multiple source systems.
• Experience supporting reporting and analytics environments.
• Strong knowledge of relational databases.
• Native-level Dutch proficiency (CEFR C2) is mandatory.

Preferred Skills

• Power BI development and integration.
• CI/CD, version control, and deployment of data solutions.
• Spark or Spark-based data processing.
• Medallion Architecture (Bronze, Silver, Gold).
• Lakehouse, Data Mesh, or Domain-Oriented Data Architecture.
• Kimball dimensional data modeling.
• Data Governance, Data Quality Management, and Data Lineage.
• Experience working within public sector or large enterprise environments.

Technical Environment

• Microsoft Fabric
• Microsoft Azure
• Python
• SQL
• Power BI
• Spark
• ETL/ELT
• Lakehouse
• Data Warehouse
• Medallion Architecture
• CI/CD
• Git/version control